• DocumentCode
    898611
  • Title

    Massively Parallel Fast Multipole Method Solutions of Large Electromagnetic Scattering Problems

  • Author

    Waltz, Caleb ; Sertel, Kubilay ; Carr, Michael A. ; Usner, Brian C. ; Volakis, John L.

  • Author_Institution
    Northrop Grumman Electron. Syst. Sector, Baltimore
  • Volume
    55
  • Issue
    6
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1810
  • Lastpage
    1816
  • Abstract
    We describe a massively parallel version of the single-level fast multipole method (FMM) that employs the fast Fourier transform (FFT) for the translation stage. The proposed FMM-FFT method alleviates the communication bottleneck and has a lower complexity, O(N4/3 log2/3 N), as compared to the conventional single level FMM which scales as O(N3/2), where N is the number of unknowns. Through numerical examples we demonstrate that the proposed parallel fast multipole method yields a faster solution time than its multilevel counterpart for very large problems in a distributed memory parallel setting.
  • Keywords
    computational electromagnetics; electromagnetic wave scattering; fast Fourier transforms; FMM-FFT method; communication bottleneck; distributed memory parallel setting; fast Fourier transform; large electromagnetic scattering problems; lower complexity; massively parallel version; single-level fast multipole method; Application software; Clustering algorithms; Computational electromagnetics; Concurrent computing; Distributed computing; Electromagnetic scattering; Fast Fourier transforms; Hardware; Iterative algorithms; Multicore processing; Fast methods; fast Fourier transform (FFT); fast multipole method (FMM); multilevel; parallel; scalable;
  • fLanguage
    English
  • Journal_Title
    Antennas and Propagation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-926X
  • Type

    jour

  • DOI
    10.1109/TAP.2007.898511
  • Filename
    4231308